{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第一题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  \\\n",
       "0      0   1  男     4.13         72   8.88       66  195     60    12      74   \n",
       "1      1   1  男     4.16         70   7.70       78  225     74    11      74   \n",
       "2      2   1  男     4.09         74   8.45       70  218     70    14      78   \n",
       "3      3   1  男     4.21         68   8.05       74  206     64    13      76   \n",
       "4      4   1  男     3.44         85   7.52       78  210     66    13      76   \n",
       "\n",
       "   男引体  男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0    1      0  2785      62  170  72.599998  25.120001  \n",
       "1    7     60  3133      68  174  52.700001  17.410000  \n",
       "2    1      0  3901      80  169  46.500000  16.280001  \n",
       "3    1      0  4946     100  183  79.699997  23.799999  \n",
       "4    9     68  3538      74  171  54.700001  18.709999  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  \\\n",
       "0      0   1  女    3.22       100   9.32       72  185     85    16      76   \n",
       "1      1   1  女    4.59        40  11.44       10  148     60     9      66   \n",
       "2      2   1  女    3.46        80  13.40        0  150     60     7      64   \n",
       "3      3   1  女    3.39        85   9.52       70  172     76    21      90   \n",
       "4      4   1  女    3.43        80   9.79       68  145     50     8      64   \n",
       "\n",
       "   女仰卧  女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0   48     85  3775     100  163.0  51.299999  19.309999  \n",
       "1   29     66  3683     100  163.0  66.599998  25.070000  \n",
       "2   40     76  3331     100  157.0  60.000000  24.340000  \n",
       "3   46     85  3701     100  160.0  50.700001  19.799999  \n",
       "4   34     70  3592     100  167.0  63.900002  22.910000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt \n",
    "male = pd.read_excel('./体测分数_男生.xls')\n",
    "female = pd.read_excel('./体测分数_女生.xls')\n",
    "male.drop_duplicates(inplace = True)\n",
    "male.reset_index(inplace=True)\n",
    "male['性别'] = [x.strip() for x in male['性别'] if x.strip() != ''] \n",
    "female['性别'] = [x.strip() for x in female['性别'] if x.strip() != ''] \n",
    "female.drop_duplicates(inplace = True)\n",
    "female.reset_index(inplace=True)\n",
    "\n",
    "display(male.head(),female.head())  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 男1000米跑-分箱图&饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'STSong'\n",
    "\n",
    "male_grade = male['男1000米跑分数']\n",
    "labels=['不及格','良好','优秀']\n",
    "\n",
    "male['男1000米测算']  = pd.cut(male_grade,\n",
    " bins = [0,33,66,100],\n",
    " right = False,# 左闭右开\n",
    " labels=labels)\n",
    "\n",
    "male_grade2 = male[['男1000米跑分数','男1000米测算']]\n",
    "\n",
    "male_grade2 \n",
    "\n",
    "cond1 = male_grade2['男1000米测算'] == '不及格'\n",
    "grade_bjg = male_grade2[cond1]['男1000米跑分数']\n",
    "\n",
    "cond2 = male_grade2['男1000米测算'] == '良好'\n",
    "grade_lh = male_grade2[cond2]['男1000米跑分数']\n",
    "\n",
    "cond3 = male_grade2['男1000米测算'] == '优秀'\n",
    "grade_yx = male_grade2[cond3]['男1000米跑分数'] \n",
    "\n",
    "# print([grade_bjg,grade_lh,grade_yx])\n",
    "\n",
    "plt.figure(figsize=(12,12)) \n",
    "plt.boxplot([grade_bjg,grade_lh,grade_yx],\n",
    "            labels=labels)  \n",
    "\n",
    "_ = plt.xticks(fontsize = 18)\n",
    "_ = plt.yticks(fontsize = 18) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grade_hz = male['男1000米测算'].value_counts() \n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "\n",
    "patches,l_text,p_text = plt.pie(\n",
    "    grade_hz,autopct='%0.2f%%',\n",
    "    labels=grade_hz.index,\n",
    "    wedgeprops={'width':0.45},\n",
    "    pctdistance=0.75)   \n",
    "for t in l_text:\n",
    "    t.set_size(22)\n",
    "for t in p_text:\n",
    "    t.set_size(22)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 男引体向上"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dpz3taenunR4KwJ6w5RiuqmcmeV13f37DUw/MupniJOnuLyS5Osn+Tc5zblVdXFUXX3nllUcwZICZ1s8Ib/YYgMO3pRiuqgckuaG7P7TJ02ckuW6T7dctn7uJ7r6gu/d39/7b3/72hzVYgMme/vSnH/QxAIfvkDFcVScl+RdJfvMgu232+zq/wwNYsarKq1/9amuFAVZkKzPDT0/ymCSfqKrLq+ryJGcmedny369IcuImx90mG5ZPAHBk1q8RXj8jbO0wwNE5ZAx396909+ndfcbaV5K/SfKc5b+/O8md1h9TVSckOSXJJdsxaICJuvtmXwAcnVV8At1rc/ML5c5KclF3f2IF5wcAgG1x1DHc3R9IcmlVnb1u82OTPO9ozw0AANvpiD6OeRPPTvL8qnpYFoF9UXe/b0XnBgCAbXFEMdzdd9nw+ItJXrSKAQEAwFfKKtYMAwDAriSGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICx9u30ANgZVbXTQ0iSdPdODwEAGEwMD7WKCK0qMQsA7GqWSQAAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGGvLMVxVT62qD1fV1VX1lqq667rnTqmqn66qH6uqF1TV/u0ZLgAArM6WYriqHpfkPkm+Jcm9knw5yduq6rbLXS5I8mvd/cvd/XNJfriq7rgdAwYAgFXZt8X97t/dz1l7UFVPTPLpJN9eVZXk77v7s+v2f2uSn0nyjFUNFAAAVu2QM8NVdYskr1m/rbuvTnJVkpOS/FCSD2447ANJfmB5LAAAHJMOGcPd/aXu/tD6bVV1hySnJHlXkgcmuXzDYZcnOTnJ3Teer6rOraqLq+riK6+88ogHPtlpp52WqtrxryQ7PobTTjtth//XAAB2s60uk9jo2Ule2t0fq6ozkly34fm1x2ckuUlId/cFWawxzv79+/sIv/9oV111Vbr9p0tyY5QDAByJw47hqnpAFhfRfd+6zRvLTKkBAHDMO6z7DC+XRzwryeO6+/rl5k8mOXHDrrdZ/nPj8gkAADhmHM59hk/K4g4Rz+7u9csi/iLJnTbsfock1yT58FGPEAAAtslW7zN8qyS/mOQF3X3tuu3flOS3k5y94ZB7J/kP3f2lVQ0UAABWbaszw69IcmGSrqrbLb/OSvKvu/tNSfZV1Znr9n9Ukp9d7VABAGC1DnkBXVU9JslTll8b/fbyn09K8ryq+mySWyX5je7+m1UNEgAAtsMhY7i735jkoPev6u7PJXnBqgYFAABfCYd1NwkAANhLxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGCsfas6UVV9a5KHJvlCklsmeWl3f35V5wcAgFVbSQxX1d2TPKa7n718/DVJXp7kKas4PwAAbIdVLZP4+SRvXHvQ3X+X5PZV9eAVnR8AAFbuqGO4qm6X5LuTfHDDUx9I8kNHe34AANguq5gZvl+SG7r7sxu2X57kgSs4PwAAbItVrBk+I8l1m2y/bvncTVTVuUnOTZI73/nOK/j28/R5Jyfnn7LTwzgm9Hkn7/QQAIBdbFV3k+gtbkt3X5DkgiTZv3//pvtwCOdfvdMjAADYE1axTOKTSW67yfbbZLFUAgAAjkmriOFLkxxXVV+9Yfsdkrx3BecHAIBtcdQxvLxw7s1Jzt7w1L2TvPZozw8AANtlVfcZ/okkT1h7UFX/KMlnuvtdKzo/AACs3EouoOvuj1TVy6vqRUk+m+RWSZ61inMDAMB2WdXdJNLdf5bkz1Z1PgAA2G6rWiYBAAC7jhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGqu7euW9edWWSj+3YADhapyf51E4PAgby3oOd4b23u/3j7r79xo07GsPsblV1cXfv3+lxwDTee7AzvPf2JsskAAAYSwwDADCWGOZoXLDTA4ChvPdgZ3jv7UHWDAMAMJaZYYBjQFV9S1XdYqfHAZNVVe30GPjKE8PcqKr2HeFxD6qqrzrEPo+uqodtsv2RVXW7I/m+sMdck+Q9VXXXrR5QVbetql+vqlO2cVywJ1XVI6rqDRt+Bj2rqn6zqm5RVacf4XmPq6p7VNUTquoVVfWmqrr1akbNdjii+OHYtQza47r7i0dw+O9U1eu7+/eq6rgk/zHJ7bZw3P2SvDvJIw+yz92SnJnkonVjvUWSC5P8eJLfOYLxwq5VVWdlsVTtsiTp7vdX1fuTPCrJry33+eok39jdf3qA09w1ybcnuWHdeW/d3ddt8v3ukOQHuvtlq3wdsIt9X5Irkly9btttklzd3V+qqq+vqlcmeVF3f3D9gVV1Uhbvv3+U5I5Jvm75dWaSOyT5UJL/luT9Sf54ud9Ht/XVcMTE8N5zqyTvrapPJ/nyAfZ5SJK/TnLlJs89var+qLuvrapnJrmqu7+w/Jvzm7r7WzceUFXvTvKkQ4zrS0n+csO270nyZ919YwgvI/y8JL/S3Z89xDlhN7t9kv9UVe9dt+12Se5RVd+3fPw1Sb62qh7c3Rdvco57Jvnj7r5m3bZfrap7J9kYxHdKcmpVvaO737ealwC703Li6LuSfHPf9OKpfUk+nCTd/e6qujDJRVV1+ob9Tlj+8xNJPp7kD5N8Osk5SR7R3T++zS+BFRLDe0x3X5vFD8hNVdVDk7w5ybd092cOca7L1z08Nck/bHK+70ry5xv23fR0y/0ryS2WM9fnJvnqqvrTdfvdZjn+D2QxMw171ReS/F53P+FAOyzfrz9+gBBOkm9K8o7lvt+Q5Iru/hebnOeEJK9L8iNbeK/CBN+T5M3dfcWG7Scm+cjag+5+S1W9cEMIp7s/nUX83sSBlhwvfxP6Y0levPFc7DwxPM+Lkvz8oUJ4E6cmuW9V1YY38nOSPGOzA5a/lv29LGao75jk+iT/Msm1VfVLWQTvx7r719cd8+okv9zdQpi97oZD75Jkw0e/VtXXJvnNLGam7p7kHcu/lD4kyXVV9cDuvn7DOZ6R5EeFMNzoKUl+uKqO3/B+OTHJZ9fv2N2/WlWPT3J9d7++qp6b5AeTfH7DOW+bxYTOyVX14Cx+I7r+vPdIUkl+fpUvhKMnhgepqu9I8qAkf7TJHwCHcmYW8XrPJH+1PN9Tknymuz9eVScneXx3v3LtgO7+ZFV9T3dfWVV/keS3uvs3lse+Osn/kuReVfXPl+uUfyjJl7v7P6zi9cIu8B0bfjOy0SlJLlm/obv/e1U9K8l/TXJRd39/klTVK5L8yfr3dVV9fZKHJ/nP3f3xVQ8edqPlMqJ/msX6/PtW1QOTfG759N2TPGS5NPDzSdYmjm6R5MtV9fYkr0jy8u7+0rpzPi/JtyR51fKfn05ySXe/bftfEUdLDA+xXOz/siQ/k8USicMJ4ST5x0l+O4v1UH+13PbQJP9k+cP8lCTfWFXv6e4bf3gvQ/jMJGcn+YPlmuBvS/Lr3f35LNY3P7iq/k2SeyV5zJG+RtiF/mgLyySevHF7d3+4qk7LTWeNvyrJ/9iw6x2yeE/9H0c/VNgzfiKLyZ2/XpugWVNVv5vkXyV5YpIPdfcbD3WyqvqpLH5+fW8WF5JXkn+b5BVV9fwk/3uSt3f3J1f6KlgZt1ab41eTvDLJZUn+bnnrl6ce6pZo65yV5D1ZRPGa5yY5q7u/Lcnrk/z0+hBe5zFZBPStslgHfOaGC3j+Ksljs7gQ4ZZbfkUw24OT/Od1j782N79a/fokf7s2g1VVX7P8DRGMVFX3zOLi8UuT/P0mu9whyZaWE1XVyVX1W0mu6e7HL99nt06yr7uv7+5nJPl3SV6e5PKq+tuquriqnriSF8PKmBkeoKq+P8lJ3f1ry7WF6e4bqurfJ/mFqvpIkld298HWMH5dFlfYfqiq7tPdH1i7gn15Udz3JvnOAxx7TpLXZrEO6yVZ3GbmNctjn5XFEox7JPn+JH9eVf9XFhf5XbqcPYbJDjRp8ZAkb0puvAvLKUkeWVVPz/KC1SQnJ/madUsxvjbJaVV13+7+b9s3ZDhm/cskL0jyywd4/rbd/fkDXQi3pqq+M8njkvzb7v5/1j31uSTvXO7zqCzeo7+bxQXjj8riup13Hc0LYPXE8B5XVQ/K4uKZ79743PJepM+pql9I8vaqevxm6wqXN/T/XHf38ldIL0/y1HW7fHeSd3b31Zsce/8kH8zyThTLdcT3rqo7ZnFl7Zu7++XL3f99Vf1+Fr+iem2SS6vqJd39Z0f8HwCObevXDJ+Rm89InZzkQGsO75Pk/OW/n53k4iRvTPKHa1fIL9//z+zuJ69uyLA7VdU/SXJhd1+9WexW1alJrjrEOe6Yxc+8D2dxn/zfraorslimdIf8/9fU/EgWSyee2t1vzmIi6CUrezGslBjew6rqblmsW/re7r7ZbdHWdPdPVNXLsli/e053/5cNuzwiyVuX+15XVe+rqu/q7j+oqlsm+ckk/+wAp39mkp9K8oTlmE5I8ugs/r93TpL7V9V56/Y/Lsm9s7gZ+p+4BQ173I1rhqvqW5P8/fqlRsu1/udX1UuS/NiG98Nns7iR/8ezWIr0xuVfcG/2gRtAkuQ96y9628RDc4hZ2+7+2yzWAK/5xuTGC8rvtXZ/4Vp8et3LliGcqjrD3VyOXdYM71G1+EjXn03yz7v7U4faP8n/muT/TfL0TZ773iTr7/DwG0l+dBnbv5TkNzb7HlV1nyx+2K9/7vQkv9/dr8vi11HftuHrW5N8Msm7hDCTdPc7knzfcnYqVfXPsvgNyf/I4lZqG/1QkocuQ/lhWS6ZADZ3iBBOFvcefsuBnqybfmzzRvfOTdfw/59JHlRVf7q8A8VHq+qcLQ6VrzAzw3tQVT0gi6h9WndvdoHAzSzXED8zGz5+eXlP079bvwSiFx9TeW4W66Le0d3/7gCnPbW737Dh+/zd1oZz4Jls2MNenOTXqurDWVx9/j0H2nH5l8XXVdU3ZXHRznNz4HWQwEEsZ3Lv2t3vPshuj8xNJ4bWjq0sftP50+s2PzvJ8d393uUHbrw/ycHOzQ4yM7zHLNfofkN3//BWQ3hNd7+vuy/asPnHkvybDd/j+Cxmkt+S5MFVdX5V3WaT8/3puoe3OJyxwDTLWadHZPFD9J5ZzBLf4xDH3D+Lj2z+5iSPr6oXbvc4YY84PotboK352STPO8QxdzzA9v85yVt78QmwSZLuvrS71z5q/W5JLuvuLxzpYNleZob3mO6+NItbxhzIxj8ADqiqvjuLi3GuWrftPkl+LslruvuNy3sIvzHJs6rqVUl+P8kHN7kLxC02+b7HH+ADB87Yyvhgl7t1klTV2Vms+f1oFu+rf0jyhKr6p0l+Z/mXz4uS/HmS/57kr7r775dLoZ6d5Bnd/Q9V9YNJfnQnXgjsQrfO4lMcU1VPTfLHfdOPPb8h6271uVy+9JNV9abu/q/rtt8zi0+ze/RBvtf/lMV7mGOUGJ7nlln+AXAwVfUNSc7o7lctH981ybOyuG3MD67dVq27/2Z5he4LsriQ7vlZ3H7t6d39nnWnPCGLEL/JWJb3KN74vT9aVccd4lZvsNs9K4tPwfrbJP9bd39u/ZPd/dYkb13eF/gZWaxn/MkkH6mqb87ik+XO7e4vLvf/L0nOXV509+gs/lJ5Vm7+kbFAcm2ST1XVY5N8uLs3Xjj3niyWLD1n+fj0LH4beuMdl6rqMVksnfiB5cWra9tPzOI2amcmOSmL9f33264XwtEr1yjNsrzn8Fndfd5B9rlDkgd19+8vZ63ul8UV6m9c/4bf5Li7ZRHQ79jkuZ9J8pfd/bvrtv1hdz9yk33/7yTftYWLHWDXqqoHJzmhu99+mMfdJclXHeADbtbvd3YWF7v+YHd/+IgHCntUVX11ki9sdlvQQxx3TpL7ZnEv/HceZL+vz+JCuqcfYi0yO0wMc1BVdcLazBMATFdVtz7YxBC7jxgGAGAsd5MAAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjPX/AdfFXpRktgF0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'STSong'\n",
    "\n",
    "male_grade = male['男引体分数']\n",
    "labels=['不及格','良好','优秀']\n",
    "\n",
    "male['男引体测算']  = pd.cut(male_grade,\n",
    " bins = [0,33,66,100],\n",
    " right = False,# 左闭右开\n",
    " labels=labels)\n",
    "\n",
    "male_grade2 = male[['男引体分数','男引体测算']]\n",
    "\n",
    "male_grade2 \n",
    "\n",
    "cond1 = male_grade2['男引体测算'] == '不及格'\n",
    "grade_bjg = male_grade2[cond1]['男引体分数']\n",
    "\n",
    "cond2 = male_grade2['男引体测算'] == '良好'\n",
    "grade_lh = male_grade2[cond2]['男引体分数']\n",
    "\n",
    "cond3 = male_grade2['男引体测算'] == '优秀'\n",
    "grade_yx = male_grade2[cond3]['男引体分数'] \n",
    "\n",
    "# print([grade_bjg,grade_lh,grade_yx])\n",
    "\n",
    "plt.figure(figsize=(12,12)) \n",
    "plt.boxplot([grade_bjg,grade_lh,grade_yx],\n",
    "            labels=labels)  \n",
    "\n",
    "_ = plt.xticks(fontsize = 18)\n",
    "_ = plt.yticks(fontsize = 18) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grade_hz = male['男引体测算'].value_counts() \n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "\n",
    "patches,l_text,p_text = plt.pie(\n",
    "    grade_hz,autopct='%0.2f%%',\n",
    "    labels=grade_hz.index,\n",
    "    wedgeprops={'width':0.45},\n",
    "    pctdistance=0.75)   \n",
    "for t in l_text:\n",
    "    t.set_size(22)\n",
    "for t in p_text:\n",
    "    t.set_size(22) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第二题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 女800米"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'STSong'\n",
    "\n",
    "female_grade = female['女800米跑分数']\n",
    "\n",
    "plt.hist(x=female_grade.values,\n",
    "        bins= 4,\n",
    "        color = 'steelblue')  \n",
    "\n",
    "plt.xlabel('分数',fontsize=18) \n",
    "plt.xticks(fontsize = 20) \n",
    "\n",
    "_ = plt.ylabel('频数',fontsize=18) \n",
    "_ = plt.yticks(fontsize = 20) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 女跳远"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TERFrb8DEQlnO5buUjbygLN/yWkmmXEGsR9kn5TuUq43BOAY4tGGJ/dsknUxZh2zXavHLHtt/13uA7Uer8sOAr1XL+s8EdmyIWSlpNmVNs+MG2aaIiFgLAyUW235rNdV4v6rgoOYgSVtTPsD/Q9Jhtp9p8/2va7FvS+9WwusA04FW2xzPr97va5T9Wp62/WyLmM9JOq3a8TIiIoZBO7fCBKwCNpf0pT7C1qPsQf8tyq2s97fz5rZbTUneGXgS+AGwF2X3ymaLgN0lrVvFPNZHzATgLcCdjRWSplOSFttuu207TY2IiDYNlFhWAZMpieMo4CVgc8qeK71EGVD/ne0fS7pU0l837y7Zjmqg/uPAibaXS5oCtJq2vAxYH9gU6C+Gqn41tmcBswB6enrcXB8REWtuoAck3w/sA7zT9p3AE8C/2p5XXW0cAvzW9lzbPwaw/T1afJi3aQZwue1r1/D4iIjosIE2+nqWMij/YvX6YeChhpD5wMWSrqlma/W6XNIug2lINWj/gO2LGooXAZNahE8AnqesptxfDLS+TRYREUOkv42+3s0rSWQzSa+n3PaypEm2l1ZXFtdWm39dLOlq29dWi1M+0W4jJB0PLG5xpTIXmNrikCnAPNsvSppL690qpwArKGM1ERExTFomFkmbAJ+g7LXSu99K74f3DpQk8lbKmAuUK5/fUva6X9f2Ne02oNp18he2b2gqnwZcSuvB+2lUYySUKc7nS9ra9m+aYq7OjLCIiOHVMrFU04Xf3apO0m22P1L9/DrbTzbVXyDpPtu/GOjNJZ1CSUq3SXpNbzHwZ8Axtj8s6RZJB9n+ZnXMNtUx11Rtfba64jmNsmcM1Wyx9wAfHagNERFRr3amG5/HK2MYotrLvnq6/RZJp9q+teGQMyjbGn9qgPNOA86nzCj7fIuQmdX3k4BTJZ1BuXoaDxzR+9Q9gO1rJa2SdBZlWZiNgVOak15ERAy9dp68v47yYf4SJbHsAi8/3f5e4O+r8Zgzbb9UlX9f0o62f9bXSaslWtYb6M2rZftntBF3XdXWiIjooAETi+35ja8lLZO0pe3FthcDp0h6A3C6pItsr7B9q6Rdh6rRERExcg30HEsr59A048v2z21/vvF8g1nhOCIiukc7t8JWY3t2P3WZgRURMcatyRVLREREn5JYIiKiVkksERFRqySWiIioVRJLRETUKoklIiJqlcQSERG1GnWJRdIESZ+UtGWn2xIREa826Ackh0K1TP+1wD22z2qq2we4rcVhM5ri9gN2o2wAthHwLds/rL+1ERHRn44nFkk7AZ8Ddgfu6SPsKOBuoHdFY9te2XCOtwMH2D6toexqSWf3txBmRETUr6OJRdLuwNuBDwIP9hP6qO2f93GOcZRNvz7QVPV14GLgvTU0NSIi2tTRxGL7XuBeAElrepq9ge2AnzaVzwf2l7S97V+ucSMjImJQRsvg/QWSnpa0VNJ3q9tnvfYCFjdu/FV5AlgF7DlsrYyIiFGRWJYBNwCHACcA2wN3V3vAAEwBljcfZHsVsKKqX42k6ZIWSFqwZMmSIWt4RMRY1PHB+4FUG429vNmYpG8A9wNnAkeu4TlnUcZl6Onpab7SiYhRav9zbux0E0aV7336wCE572i4YlmN7eXAhUDvDpWLgEnNcdWg/gbAY8PXuoiIGHWJpbKIcpsLYC6wlaTxTTGbA+tQpilHRMQwGa2J5W3ATdXPtwMP8coVTK9pwGzbDw9nwyIixrqRlFhUfb1SIL1Z0gxJmzeU7QnsQXmosneQ/qPAiU3nO7xFWUREDLGOD95LmgYcDGwDfEjSr4Grba8AfgdMBeZJmksZL1kC7G/7+d5z2L5L0nhJ5wJPUZZ0+aLtB4a3NxER0fHEYnshsJAyy6u57jeUacbtnGcOMKfOtkVExOCNpFthERHRBZJYIiKiVkksERFRqySWiIioVRJLRETUKoklIiJqlcQSERG1SmKJiIhaJbFEREStklgiIqJWSSwREVGrJJaIiKhVxxehBJC0CXAtcI/ts5rq1qHsdb8eYGA8cFG1k2Rj3CHADsBKYBPgCtuPDHnjIyJiNR1PLJJ2ouytsjtwT4uQS4DLqlWQkbQdcJWkQ227Kjsc2NL2edXr8cD1ko62vWQ4+hEREUVHb4VJ2h04EPggZe+V5vo9gJ7epAJg+1FKuw+rYiYBM4HLGmJWArOBc4aw+RER0UJHE4vte21f0LhpV5NjgftblM8Hjqt+PgR42vazLWKOkDSxntZGREQ7Rvrg/V6UXSObLQJ2l7TuADETgLcMXfMiIqLZSE8sU4DlLcqXAesDmw4Q03uO1UiaLmmBpAVLlmQIJiKiTiM9sQwJ27Ns99jumTx5cqebExHRVUZ6YlkETGpRPgF4HnhqgBhofZssIiKGyEhPLHOBqS3KpwDzbL84QMwK4AdD1biIiHi1kZ5YLgX2aFE+DZhV/Xw9MFHS1i1irra9jIiIGDYjKbGo+nqZ7buBWyQd9HKQtA2l3ddUMc8CxwOnNcSsC7wH+NSQtzoiIlYzEp68nwYcDGwDfEjSrylXGiuqkJOAUyWdAbxAWdLliN6n7gFsXytplaSzgKXAxsAptp8cxq5ERAQjILFUT9UvBM7so/4lYEYb57kOuK7e1kVExGCNpFthERHRBZJYIiKiVkksERFRqySWiIioVRJLRETUKoklIiJqlcQSERG1SmKJiIhaJbFEREStklgiIqJWSSwREVGrUZdYJI2TtLmkczrdloiIeLWOL0LZDklXAkc2FV/dUL8OcAKwHmDKCsgX2V4+XG2MiIhiVCQWyvbCfwy81FD2TMPPlwCXVSslI2k74CpJhzYurx8REUNvtNwKW2n7Qdu/aPhaAiBpD6CnN6kA2H6U0rfDOtTeiIgxa7Qklv4cC9zfonw+cNwwtyUiYswbLYllU0kLJT0n6deSPidp/apuL8qtsmaLgN2rbYojImKYjJYP3YeBecATwJ7A3wN/ChwITAFaDdIvA9YHNq2Oe5mk6cB0gG233XbIGh0RMRaNisRi+8KGl7dImlt9f+canm8WMAugp6cng/sRETUaLbfCVmP7+5QrmF0pt7wmtQibADwPPDWMTYuIGPNGZWKpLAJWAHOBqS3qpwDzbL84nI2KiBjrRmVikTQe2Bm4GbgU2KNF2DSq210RETF8RnxikfR3ko6RNK56PQ44H7jU9gO276aMtxzUcMw2lL5d04k2R0SMZaNh8H4xcCZwvKTbKeMmN9qe3RBzEnCqpDOAFyhLuhyRp+4jIobfiE8stm8Abhgg5iVgxvC0KCIi+jPib4VFRMToksQSERG1SmKJiIhaJbFEREStklgiIqJWSSwREVGrJJaIiKhVEktERNRqxD8gOdLtf86NnW7CqPK9Tx/Y6SZExBDLFUtERNQqiSUiImqVxBIREbXqqjEWSVOBo4BnKSscP2T7uk62KVaXMamI7tc1iUXSZOBC4NDeXSMlnS7pMNtf72zrIiLGjm66FfZZ4JamrYj/FbhI0qQOtSkiYszpisQiaSLwV8D9jeW2nwaeAT7QgWZFRIxJXZFYgLcCGwKPtahbBOw1vM2JiBi7umWMZUr1fXmLumUN9QBImg5Mr17+XtKDa/HemwG/XYvjR5ux1l9In8eKMddnfWat+rxdXxXdklgGxfYsYFYd55K0wHZPHecaDcZafyF9HivS5/p0y62wRdX3VoP0E2h9iywiIoZAtySWhcAKYGqLuinAXcPamoiIMawrEovtZcC/A3s2lkvaBHgtcP0Qvn0tt9RGkbHWX0ifx4r0uSayPRTnHXaSNgNuAA6wvbQqOw1YbPuajjYuImIM6ZrEAiBpW+AE4ElgHeCXtq/tbKsiIsaWrkosERHReV0xxhIRa0fSOEnvk3RMp9sSo1+uWNZQt6+kLGln4DxgN2ApZQLEpxvGr9ah3HZcDzDlz+Ai260eUh11JL0WuNf2HzWUdWWfJe0FnA1cYvubTXVd1WdJWwD/wCuPKGwPnGf7kaq+K/pbTVy6FrjH9llNdW31UdIhwA7ASmAT4IreP6cB2c7XIL+AyZSJAus2lJ0OHNbpttXUvx2BWyhJZSLwTuAR4E5gXBXzJWBawzHbAddR/bIymr8oDw7/Z/nvsVp51/UZ+CjwILBdH/Vd02dgfWA+sGND2U7AT4D1uqW/VZ++RVkn8aw1+TsFDgdObXg9Hvg2MLmdNuRW2Jrp9pWUj6FsPzDP9jLbtwEnU6Zz7yppD6DH9sLeA2w/Srm1elhHWlyvz1A+gF7WjX2W9D7KVhMHV31pru+2Pu9N+fD8WW+B7Z8AzwM7dUN/Je0OHAh8EPhdi/oB+1h9hs0ELmuIWQnMBs5ppx1JLIM0RlZSvq7qT6OHq+/rAMfS1P/KfOC4IWzXkKvWkbsVeKipqqv6LOk1lA+O86oP11a6qs+Uz7utJDUvZbU+sJgu6K/te21fYPv5PkLa6eMhwNO2n20Rc0T1GdivJJbB6/qVlG3Pa1G8M2Ua9w8ofeyr/7u3+I87Kkjaj/Ib7ZwW1d3W5+Mo/44vkbSfpHMlfba6N9+r2/o8m/Jv+CpJGwNI+nPgC7afoPv620o7fewvZgLwloHeJIll8Aa1knI3qAb7Pg6c6DLAN4W++78+sOkwNq8WkrYHDrR9aR8h3dbng4BbbT9j+/u2zwBeA/xfSapiuqrP1a3rd1GuuhdIugb4U+DyKqSr+tuHdvrYX0zvOfqVxBLtmAFc7i592FTSBMq42ZmdbssweiPww6ays4E9gAOGvTXD503Af1D6Pwv4S2BO05VarKVuuLQbbo0rKT/VVDeBV8YiuoKkk4EHmn6TX0TfK0k/z6v/XEa66cD+wMOv/LLOhgCSHq9eL6a7+rwhZar8y2w/Kekpym3PG+myv2dJu1Im2ezoMtVpjqTdgAWUpNpV/e1DO31cBLy+jxhoY7X4XLEM3phZSVnS8ZS11ppvD82l7/7Pa5otN+LZnml7U9tb9H5RZsHR8PoOuqjPlA+HLVqUizLFHLrs75kyhfaHVVIBwPZzwFWUW2Td1t9W2uljfzErKOOs/UpiGSR3diXlYSPpdGBR8+0vSdOASym3TJpNo3tXiO22Pt9MmX77MkkbUf4N31cVdVuflwMbtSgX8Djd199W2unj9cBESVu3iLm6+gzsVxLLmjkDeG/TMysfBU5pMUVv1JF0CuXfxm2SXlN9vVbSPsDHbN8N3CLpoIZjtqmO6cqVpLuwz+cCO0h6V0PZhylJ5TvQlX3+d2AXSY2rKWxEeXzg7C7sr6qvl7XTx+oz7HjgtIaYdYH3AJ9q640brgpjELp1JeXqiuQeypO2rcy0fWo1U+xUyrIQL1TxF7fz28xoIOkoyhIWaijrqj5LejPwj5TnGtYFtgTOsP27hphu6/M0ygzHByhjClOBWbbvr+pHfX+rPh5M+QX4F8D5lCuNFVV9W32slnR5E2VJp42Br9huaww5iSUiImqVW2EREVGrJJaIiKhVEktERNQqiSUiImqVxBIREbVKYomIiFolsURERK2SWCKGkaRtqiede1//iaSPS1q/jWMl6RJJm7WoO0XSEXW3N2JNJLFEDK+zgHsk/WH1+tfA3n3t+CfpD3sTSbV44r7A76u6gyVtWIV+CPjlUDY8ol1JLBHDRNLmlBV2P2D7F/DyukxP9HPYI8CXJPXu2rfU9nOS9gT+Bti62g1xnO07h671Ee1LYokYPv8MfLnF1s//LanVirO9ux7+GyWJACBpHGX/mINt/5yySvGVjcdJ2kjSh2pse0TbslZYxDCoEseXgV2bb3tJ+gPKyrsHuuk/pKQNba+QtK7tFyXdS0kk4ykrzZ4NfA54CHiuOmxfyhLxSyn7uf9mCLsW8SpJLBFDrNr6+PvAUbYf7CPmM8Aq2//cVP4NYFvKSry7Vd/vbwi5HuixfWTDMd8GPmf7nlo7EtGm3AqLGHpfAv6pr6RSOR84XNInGgttH2p7N2Ae8H7KYP/JtvexvQ/wP5Tlzxu9HvhRXY2PGKwkloghJOlEYLbtm/qJ2Zayx/xRwCck3Sypp6H+48D3bN8ILAO2kHSbpL0o+5DfLGlyFbsRsGI07R8S3WfdTjcgoltJ+mvgUWAfSSdTksJGwA7AfzWGAm+nbKr0HuAbwAGSVlJuf33D9qOS3keZdfw9Sb8CDgIuBjYHDgC+UsXfPgzdi+hTxlgihoCk1wPr2/5pU/m7gOm2P9hQNhH4ke0dqteybUmvA5ZUP28OXA582PbT1dXKfbZfqI6ZafsUSRcCN9i+Y3h6GvFquWKJGAL9bOH6BuAnTWUb8MqMrt4HIQFWAAslPUu5KnkQuECSgL+gzAabWcU+I+mNlCuWj9XRh4g1lcQSMbz2BS5qKtuQMgi/GttLJe1ZTTe+Avib6uplK2Cq7ZkN4VcB/wl8qXnKcsRwy+B9xDCpBum3b/GE/GbAolbHVEllH+DphuJPUmaRNVoK/AGvvhqKGHa5YokYBtWzLLOAv61eT7K9tKreF+jr1hm250haAZwraVNKcjqx4dyTKAP3xwIzJD3Uu2RMRCfkiiViiFULTl4GnGV7flW8i6R/kfQIMAOYPcBpFgC/AiYCG0r6sqT1JG1HeWr/H21fR0lcN0naeyj6EtGOzAqLGCKSplAeanwRuNL2ihYxXwPut918a6u3fhJwMDAVuNn2vZLWA74DrAR+DJxv+38ajukBvgrMAT5je3Gd/YoYSBJLxBCR9KfAf6/pYHo1DXl34B7byxvK/wR4B3Brf0/zVwloVbWQZcSwSWKJiIhaZYwlIiJqlcQSERG1SmKJiIhaJbFEREStklgiIqJWSSwREVGrJJaIiKjV/wcF0OFb9sePWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'STSong'\n",
    "\n",
    "female_grade = female['女跳远分数']\n",
    "\n",
    "plt.hist(x=female_grade.values,\n",
    "        bins= 4,\n",
    "        color = 'steelblue')  \n",
    "\n",
    "plt.xlabel('分数',fontsize=18) \n",
    "plt.xticks(fontsize = 20) \n",
    "\n",
    "_ = plt.ylabel('频数',fontsize=18) \n",
    "_ = plt.yticks(fontsize = 20) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第三题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 男女生"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>性别</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>男</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>男</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>男</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>男</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>男</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>女</td>\n",
       "      <td>19.629999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>女</td>\n",
       "      <td>21.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>女</td>\n",
       "      <td>17.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>女</td>\n",
       "      <td>18.379999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>女</td>\n",
       "      <td>21.070000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1064 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    性别        BMI\n",
       "0    男  25.120001\n",
       "1    男  17.410000\n",
       "2    男  16.280001\n",
       "3    男  23.799999\n",
       "4    男  18.709999\n",
       "..  ..        ...\n",
       "586  女  19.629999\n",
       "587  女  21.490000\n",
       "588  女  17.850000\n",
       "589  女  18.379999\n",
       "590  女  21.070000\n",
       "\n",
       "[1064 rows x 2 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hz = pd.concat([male[['性别','BMI']] ,female[['性别','BMI']]]) \n",
    "hz "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "性别  tizhong\n",
       "女   0.0        465\n",
       "    2.0         76\n",
       "    3.0         30\n",
       "    1.0         13\n",
       "男   0.0        352\n",
       "    2.0         58\n",
       "    3.0         38\n",
       "    1.0         20\n",
       "Name: tizhong, dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# type(male['BMI'][0]) \n",
    "\n",
    "def panduan(x):\n",
    "    if x>=16.5 and x<=23.2:\n",
    "        return 0\n",
    "    elif x <=16.4:\n",
    "        return 1\n",
    "    elif x>=23.3 and x<=26.3:\n",
    "        return 2\n",
    "    elif x>=26.4:\n",
    "        return 3\n",
    "\n",
    "hz['tizhong'] = hz.BMI.map(panduan)\n",
    "sumnum = hz['性别'].value_counts()  \n",
    "\n",
    "sexnum = hz.groupby(by=['性别'])['tizhong'].value_counts() \n",
    "sexnum "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "\n",
    "labels = ['正常','低体重','超重','肥胖']\n",
    "\n",
    "patches1,l_text1,p_text1 = plt.pie(sumnum,\n",
    "    radius=1, # 半径\n",
    "    pctdistance=0.85, # 百分⽐位置\n",
    "    labels=['男','女'],\n",
    "    autopct='%0.1f%%',\n",
    "    wedgeprops=dict(linewidth=3,width=0.4,edgecolor='w'))  \n",
    "\n",
    "patches2,l_text2,p_text2 = plt.pie(sexnum,\n",
    "    autopct='%0.1f%%',\n",
    "    radius=0.7,\n",
    "    pctdistance=0.7,\n",
    "    wedgeprops=dict(linewidth=3,width=0.7,edgecolor='w'),\n",
    "    labels=labels * 2,\n",
    "    labeldistance = 1) \n",
    "\n",
    "for t in l_text1:\n",
    "    t.set_size(30)\n",
    "for t in p_text1:\n",
    "    t.set_size(20) \n",
    "    \n",
    "for t in l_text2:\n",
    "    t.set_size(16)\n",
    "for t in p_text2:\n",
    "    t.set_size(16) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   },
   "types_to_exclude": [
    "module",
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    "builtin_function_or_method",
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    "_Feature"
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 "nbformat": 4,
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